Automation and anxiety

SITTING IN AN office in San Francisco, Igor Barani calls up some medical scans on his screen. He is the chief executive of Enlitic, one of a host of startups applying deep learning to medicine, starting with the analysis of images such as X-rays and CT scans. It is an obvious use of the technology. Deep learning is renowned for its superhuman prowess at certain forms of image recognition; there ar

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過去を参考にするならば新しい技術によってトータルの雇用は増える。（ATMの例）ただし、減少する業務と増加する業務のタスクは異なる可能性があり、変化に追従するためには新しいスキルを素早く身につける必要がある